Correct for “identified victim” over-weighting

Recognizing that vivid individual stories feel more compelling than identical statistics helps you allocate attention and resources more rationally.

Why it works

Slovic showed that identified victims — a single named person with a face and story — generate far more affect than statistical victims (“8 deaths per million”), even when the numbers favor the statistics. The affect heuristic amplifies the response to the vivid case: it triggers emotion, emotion substitutes for risk judgment, and the result is wildly disproportionate resource allocation. This is the mechanism behind charitable giving spikes for identified individuals and under-response to large-scale statistical tragedies.

How to do it

1. When a vivid story or case prompts a strong response, note it: “I’m responding to an identified individual, not a statistical summary.”
2. Look up the relevant base rate: how often does this happen, and how does this case compare to others affected?
3. Ask: "Would I allocate the same resources if I only knew the statistics?"
4. Use the statistical frame to calibrate proportionality rather than letting salience drive allocation.

Evidence

Slovic (2007) documented the “collapse of compassion” — that identifiable, single victims generate more giving than multiple statistical victims — and argued this is a direct effect of the affect heuristic. The identified-victim effect is well-replicated in charitable giving and resource allocation research. (observational)

Responding more to identified individuals may sometimes be rational (they are the proximate case) — the correction is for allocating disproportionately to vivid over statistical cases of equal severity.

Sources

• Slovic (2007), "If I look at the mass I will never act": Psychic numbing and genocide, Judgment and Decision Making

Common mistake

Using this awareness to suppress all emotional response to individual cases, rather than to ensure that statistical needs don’t get crowded out by the vivid ones.